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面向电网调峰辅助服务的空调负荷调控策略及其虚拟机组建模 被引量:5

Control Strategies of Air-Conditioning and Model of Virtual Power Plant for Power Grid Peak Clipping
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摘要 随着我国经济结构的调整,不断攀升的空调负荷成为第三产业和居民用电量增长、电网峰谷差拉大和负荷特性恶化的主因,同时随着电力能源的清洁发展,将空调负荷调控纳入电网调峰辅助服务,有利于改善电网负荷特性、促进电网安全稳定经济运行。文章首先基于已有空调负荷基本模型,从中央空调功耗特性出发,构建了中央空调调控策略及其定量决策模型;接着,基于中央空调调控策略,从调度特性指标及其量化分析与中央空调调度出力控制等方面,建立了便于调峰调度的空调负荷虚拟机组(air-conditioning load virtual power plant,ACVPP)模型;最后,以算例仿真验证了中央空调调控策略的有效性及ACVPP模型的出力效果。 With the economic structure regulation of China,the increasing air-conditioning load has become the main factor that leads to the growing of tertiary industry and residential power consumption,extension of seasonal peak-valley difference,and deterioration of load characteristics.Thus,air-conditioning load can be regarded as one of the demand-side resources for power grid ancillary services,which will improve the power grid load characteristics and promote safer and more economic operation.Firstly,on the basis of the basic air-conditioning load model,this paper constructs the control strategies of central air-conditioning considering its consumption characteristic.Secondly,air-conditioning load virtual power plant(ACVPP)is modeled on the basis of proposed control strategies from the aspects of dispatched index and power output control.Last,the effect of proposed control strategies and ACVPP power output is verified with a simulation.
作者 李恒强 王骏 蒋星燃 匡仲琴 徐石明 杨永标 LI Hengqiang;WANG Jun;JIANG Xingran;KUANG Zhongqin;XU Shiming;YANG Yongbiao(State Grid Sichuan Province Electirc Power Company Maintenance Branch,Chengdu 610041,China;Southwest Branch of State Grid Corporation of China,Chengdu 610041,China;NARI Technology Co.,Ltd.(State Grid Electric Power Research Institute),Nanjing 210061,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处 《电力建设》 北大核心 2020年第7期49-57,共9页 Electric Power Construction
基金 国家重点研发计划项目(2016YFB0901104)。
关键词 需求响应 电网调峰 空调负荷 中央空调 虚拟机组 demand response peak clipping air-conditioning load central air-conditioning virtual power generator
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  • 1赵庆杞,黎明,张化光.基于蚁群算法的灵敏负荷调度[J].中国电机工程学报,2006,26(z1):15-21. 被引量:7
  • 2杜小瑾,李瑶虹,李佳,金磊.中央空调轮停技术方案比较[J].电力需求侧管理,2006,8(3):31-32. 被引量:6
  • 3宋宏坤,唐国庆,卢毅,李扬.江苏省夏季空调负荷分析及需求侧管理措施的削峰效果测算[J].电网技术,2006,30(17):88-91. 被引量:36
  • 4许道林,谢松.基于模糊线性规划的居民直接负荷控制[J].电力需求侧管理,2007,9(1):15-18. 被引量:10
  • 5Wood AJ,Wollenberg B F.发电、运行与控制[M].北京:清华大学出版社,2003:123-124.
  • 6Consortium for Electric Reliability Technology Solutions. White paper on integration of distributed energy resources[R]. Berkeley, California: Consortium for Electric Reliability Technology Solutions (CERTS), 2002.
  • 7Apt J. The spectrum of power from wind turbines[J]. Journal of Power Sources, 2007(169): 369-374.
  • 8Lin J, Sun Y Z, Cheng L, et al. Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model[J]. Applied Energy, 2012(96): 21-32.
  • 9Barton J, Infield D. Energy storage and its use with intermittent renewable energy[J]. IEEE Trans. on Energy Conversion, 2004, 19(2): 441-448.
  • 10Teleke S, Baran M E, Huang A Q, et al. Control strategies for battery energy storage for wind farm dispatching[J]. IEEE Trans. on Energy Conversion, 2009, 24(3): 725 - 732.

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